Results 61 to 70 of about 7,005 (200)
ReMoDe – Recursive modality detection in distributions of ordinal data
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Bootstrap Methods in Econometrics [PDF]
There are many bootstrap methods that can be used for econometric analysis. In certain circumstances, such as regression models with independent and identically distributed error terms, appropriately chosen bootstrap methods generally work very well ...
James G. MacKinnon
core
Clinical &Experimental Allergy, EarlyView.Global Asthma Network Phase I surveyed children, adolescents, and adults worldwide to assess the prevalence of asthma, rhinoconjunctivitis, and eczema. Human Development Index (HDI) and Gini inequality index (GinI) were important explanatory factors for prevalence variability of these conditions, with hotspots in areas with high HDI and high GinI ...
Luis García‐Marcos +15 more
wiley +1 more source
Switching regressions and activity analysis. [PDF]
We study the use of switching regression models to characterize the coefficients in linear production technologies with a finite number of activities. Maximum likelihood-based methods are proposed and different switching specifications are discussed. The
Ley, Eduardo
core
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Conservation Biology, EarlyView.Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Bootstrap tests for simple structures in nonparametric time series regression.
This paper concerns statistical tests for simple structures such as parametric models, lower order models and additivity in a general nonparametric autoregression setting.
Yao, Qiwei +2 more
core
"Empirical Likelihood Methods in Econometrics: Theory and Practice" [PDF]
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inperspective, two interpretations of empirical likelihood are presented, one as a nonparametric maximum likelihood estimation method (NPMLE) and the other as
Yuichi Kitamura
core
Developmental Medicine &Child Neurology, EarlyView.Aim To examine longitudinal changes in speech and gross motor function in children with cerebral palsy (CP) between 4 years and 14 years of age using the Viking Speech Scale (VSS) and the Gross Motor Function Classification System (GMFCS). Method In this longitudinal observational study, 44 children (26 male, 18 female) with CP were assessed at ages 4 ...
Sydney A. Jensen, Katherine C. Hustad
wiley +1 more source
3rd Conference of the International Society for Nonparametric Statistics
, 2018 This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on ...
Cornillon, Pierre-André +3 more
core +1 more source
Ecological Entomology, EarlyView.Anthropogenic linear features facilitate high‐elevation colonization. Parasitoid pressure declines markedly with elevation. Cocoon damage increases despite reduced parasitism at high elevation. Abstract The upper elevational range limits of thermophilic arthropods reflect constraints on population persistence rather than simple presence.
Zdeněk Vacek +2 more
wiley +1 more source